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Analysis and Prediction of Railway Passenger Flow Patterns Based on the ARIMA Model
1
School of Mathematics, Yunnan Normal University, Kunming 650500, PR China
*
Author to whom correspondence should be addressed.
JEIT 2025 7(2):257; https://doi.org/10.69610/j.eit.20250430
Received: / Accepted: / Published Online: 30 April 2025
Abstract
This article uses time series data obtained by the Railway Bureau from January 1, 2015 to March 20, 2016. According to the passenger line passenger flow data from the ZD190 (station) to ZD111 (station) section of the railway company, the degree of passenger number is influenced by seasonal changes, holidays, climate and other factors, and python tools are used for data processing and visual description. This paper summarizes the change of passenger number by analyzing the properties such as train type, station traffic, passenger rate and station time period. The ARIMA season model is established to predict the future passenger flow according to the historical data, and the railway staff can be provided with reference data, so as to facilitate the railway departments to make corresponding structural adjustmentins in time and make full use of railway resources.
Copyright: © 2025 by Jiao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
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ACS Style
Jiao, B. Analysis and Prediction of Railway Passenger Flow Patterns Based on the ARIMA Model. Journal of Engineering Innovations & Technology, 2025, 7, 257. doi:10.69610/j.eit.20250430
AMA Style
Jiao B. Analysis and Prediction of Railway Passenger Flow Patterns Based on the ARIMA Model. Journal of Engineering Innovations & Technology; 2025, 7(2):257. doi:10.69610/j.eit.20250430
Chicago/Turabian Style
Jiao, Bo 2025. "Analysis and Prediction of Railway Passenger Flow Patterns Based on the ARIMA Model" Journal of Engineering Innovations & Technology 7, no.2:257. doi:10.69610/j.eit.20250430
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